- AI Strategy & Consulting
• Assessment of business processes and AI readiness
• Building AI adoption roadmaps and cost-benefit analysis
• Proof of Concept (PoC) and pilot implementation planning - Machine Learning Model Development
• Supervised, Unsupervised & Reinforcement Learning models
• Predictive analytics for sales forecasting, churn analysis, and risk prediction
• Model training, validation, and deployment on cloud (AWS Sagemaker, Azure ML, Google Vertex AI) - Natural Language Processing (NLP)
• Chatbots and virtual assistants• Sentiment analysis, intent detection, and topic classification
• Text summarization and document processing using LLMs (like GPT, BERT, or Gemini)
- Computer Vision Solutions
• Object detection, facial recognition, and quality inspection
• OCR (Optical Character Recognition) for document and invoice scanning
• Video analytics and surveillance automation
- Robotics & Intelligent Automation
• Robotic Process Automation (RPA) using AI (UiPath, Automation Anywhere, Power Automate)
• Autonomous process execution using AI-driven decision systems
• Integration of bots with ERP and CRM systems
AI-Powered Analytics & Insights
• Advanced data visualization using Power BI / Tableau with ML integration
• Anomaly detection and trend prediction
• Customer segmentation and recommendation engines
Generative AI Solutions
• Custom LLM fine-tuning for enterprise knowledge bases
• Automated content creation, code generation, and document summarization
• ChatGPT / Gemini / Claude integration for internal tools
- AI Integration & Cloud Deployment
• AI microservices integration into enterprise applications
• MLOps pipelines for continuous training and monitoring
• Deployment on cloud-native environments (AWS, Azure, GCP, or Kubernetes clusters)
- Expert Systems & Decision Intelligence
• Rule-based expert systems for banking, insurance, and healthcare
• Knowledge-based decision engines integrated with business workflows
• Fraud detection and risk scoring models
- AI Training & Support
• End-user training for AI-powered tools
• Ongoing model monitoring, optimization, and retraining
• AI performance tuning and governance setup